AI consulting from people who then build it
Where AI would pay off in your business, in what order, and what it would take. Then the first case built and measured by the same team, so the advice is tested rather than filed.
AI consulting at TechBrig answers three questions: where would AI recover the most time in this business, what order should the work go in, and what does each step need from your side. The answer is a scored roadmap with ranked opportunities and hour ranges, not a deck.
The difference from a management consultancy is that we are builders. The people who write the roadmap scope the first system to weeks and build it, with a named owner on your side and a definition of done agreed before work starts.
Four things a consulting engagement leaves behind
AI readiness assessment
How the business sources work, decides, operates and reports, scored across four areas, with opportunities ranked by recoverable time. The four-minute version is free on this site; the full version is a two-week discovery inside the business.
AI operating model
A named owner, a two-page operating model that says who decides and what is allowed, and a ranked list of where AI pays off here, agreed in two working sessions with the leadership group.
The first two cases, built
Each with a definition of done, scoped to weeks, built with the people who own the work, and measured against the roadmap's hour ranges. If the first does not pay off, you stop.
Team enablement
Short sessions on what now exists and how to ask for more, a data and usage policy people can actually follow, and playbooks in the tools the team already uses.
Firms we have done this for and keep doing it for
Professional services
Law firms, accounting and advisory practices, recruiting and staffing firms: businesses that run on documents, email and billable time, where the recoverable hours are large and easy to measure.
Funds and their portfolio companies
Private equity, family offices and the advisors who serve them: one roadmap for the firm's own operations and one playbook deployed company by company.
Owners and operators
Multi-entity businesses where the owner is the bottleneck: a live data layer, a morning briefing, approvals with context and an assistant that answers anything about the business.
Founders with a prototype
Startups deciding what to build next, what to rebuild, and how to make the result pass diligence.
From first call to a system that stays in use
Roadmap
The readiness assessment, scored and ranked, with hour ranges derived from how the business actually runs.
Sessions
Two working sessions with the leadership group: owner named, list agreed, first two cases chosen.
First case
Built in weeks by the same team, alongside the manual process, measured against the ranges.
Decide
Review against the definition of done, adjust the list, and decide what the next quarter funds.
Built, shipped, measured
Questions people ask before they call
What does an AI consultant actually do?
Finds where AI would pay off in your business, in what order, and what it would take, then stays to build the first case so the advice is tested rather than left in a deck. At TechBrig consulting and building are the same team.
How is TechBrig different from a management consultancy?
We are builders. The output of a consulting engagement is a scored roadmap with a first system scoped to weeks, and the people who wrote it are the ones who build it. There is no handoff to an implementation partner.
What is an AI readiness assessment?
A structured look at how a business sources work, decides, operates and reports, scored across four areas, with the opportunities ranked by recoverable time. Ours is free and takes four minutes online; the full version is a two-week discovery inside the business.
Do you help choose between models and vendors?
Yes. We work with Claude, OpenAI and open models and choose per workflow on quality, cost and data handling. We are vendor-neutral on tools and opinionated on what works.
What does the first engagement look like?
Two working sessions with the leadership group to name an owner, agree the ranked list of where AI pays off, and pick the first two cases with a definition of done. Then the first case is built and measured.
Can you train our team on AI?
Yes, as part of AI enablement: an operating model written in two pages, the first cases built with the people who own the work, and short sessions on what exists and how to ask for more.
Start with the roadmap, not the deck
Four minutes online gives you the scored roadmap. Thirty minutes with Ishaan turns it into a first phase.
Book a free callor write to us at [email protected]